Translating and Commercialising Genomic Research
The rapid progress in genomics research over the past decade has brought great potential for public benefit. The next generation sequencing era is helping to develop diagnostic products, new approaches to drug discovery and development, and stratified medicine approaches to therapy. However, translation paths for technologies are still emerging. This course will focus on the specific knowledge required to translate and commercialise genomics research, for example the type of IP (e.g. database rights, software copyright vs more ’classical‘ patent rights), the history and culture landscape (e.g. navigating the complexities of open source licenses for the benefit of innovation), and the use and sharing of human genetic data, including ethical and policy considerations. The programme will be delivered by entrepreneurs, investors, industry users and technology transfer professionals who will discuss options through real life examples of the exploitation of databases, bioinformatics tools, biomarkers, genetic signatures or gene panels. The content will be delivered through lectures, discussions, case studies and group work. Together with senior investment professionals and entrepreneurs, course participants will examine and discuss real life business models. This course is designed for a range of professionals involved in exploitation of technologies, such as business development professionals, business analysts in the investment community, innovation funders or senior researchers actively involved in translation. As the course has a specific emphasis on highlighting business models and developing spin outs as an exploitation route, it will also be useful to aspiring entrepreneurs. Through this course we aim to help build a community of professionals working in the translation of genomics and informatics.
After attending this course, participants will be able to:
- Plan an exploitation strategy that considers the impact on future research and on clinical adoption.
- Navigate the regulatory environment that frames the implementation of genomics tools and diagnostics in the clinic.
- Work within the 'culture landscape' of software licenses and innovation framework.
- Exploit a variety of business models around biodata, bioinformatics or genomic information